We argue how we can deal with pressure sensors for person recognition issue. It would appear that the information from the pressure sensors are relatively robust but weak. Using such sensors we argue the merit and possible use of these information. We describe: 1) to what degree and in what way information collected by pressure sensors on a chair is effective for person recognition, and 2) to what situation we can apply these sensor information and how practical they are. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yamada, M., Toyama, J., & Kudo, M. (2005). Person recognition by pressure sensors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3684 LNAI, pp. 703–708). Springer Verlag. https://doi.org/10.1007/11554028_98
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